{"id":"W10423748","doi":"","title":"What are Canadian Labor Laws as They Relate to Leave Administration, Specifically Military, Disability, FMLA, Vacation and Bereavement?","year":2013,"lang":"en","type":"article","venue":"Nō to shinkei Brain and nerve","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Law; Labour law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005167611,0.0002936804,0.0005008796,0.002919012,0.01357032,0.006196692,0.001833698,0.002563676,0.008512301],"category_scores_gemma":[0.0239044,0.0003881321,0.0007498461,0.005966672,0.007299743,0.00242644,0.001852066,0.003105893,0.0007592447],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1581455,"about_ca_system_score_gemma":0.3839594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982381,"about_ca_topic_score_gemma":0.9991447,"domain_scores_codex":[0.9912895,0.000724603,0.00028316,0.0004096092,0.004149507,0.003143683],"domain_scores_gemma":[0.9744111,0.002510272,0.002607732,0.0003894701,0.01491102,0.005170349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009902501,0.0001337491,0.1858741,0.000767117,0.0001705377,0.0003634135,0.01772999,0.001096809,0.0006411765,0.284949,0.4162143,0.0919607],"study_design_scores_gemma":[0.0000599899,0.00004200786,0.4307424,0.002085175,0.0001569594,0.0001239484,0.03410881,0.0007275062,0.000444024,0.01429311,0.5169117,0.0003044691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1105892,0.01526442,0.001263283,0.6484486,0.002166827,0.0001711934,0.006788861,0.00009912896,0.2152085],"genre_scores_gemma":[0.8179358,0.0239058,0.002996087,0.1041535,0.0006636734,0.0001474961,0.003117044,0.00009213995,0.04698838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1581455,"threshold_uncertainty_score":0.9764319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743857656385139,"score_gpt":0.2815543601464563,"score_spread":0.2641157835826049,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}